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Institution

Exponent

CompanyMenlo Park, California, United States
About: Exponent is a company organization based out in Menlo Park, California, United States. It is known for research contribution in the topics: Population & Risk assessment. The organization has 1589 authors who have published 2680 publications receiving 88140 citations.


Papers
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Journal ArticleDOI
TL;DR: Of the different failures models examined, the chain stretch failure model was found to capture uniaxial and multiaxIAL failure data most accurately for all of the UHMWPE materials.

37 citations

Journal ArticleDOI
TL;DR: The suitability of this method for applications in biological matrices was demonstrated on extracted whiting and guillemot liver samples which resulted in the identification of 137 individual PCBs in the whiting liver sample and 120 in the Guillemot sample.

37 citations

Journal ArticleDOI
TL;DR: A novel micro-CT-based technique for evaluating wear in retrieved acetabular liners was introduced and validated and showed the method to be both accurate and repeatable.
Abstract: In this study, a novel micro-CT–based technique for evaluating wear in retrieved acetabular liners was introduced and validated. Six UHMWPE acetabular components ranging in implantation time from 2.7 to 14.4 years were collected and evaluated with the use of a high-resolution micro-CT scanner. The components were scanned with a uniform volumetric resolution of 74 microns (16-bit precision) with the use of a 1024 × 1024 in-plane image matrix. Manual rigid 3D image registration of the interior hemispherical portion of the acetabular cup with geometric primitives by trained observers allowed for isolation, visualization, and measurement of the wear volume. Results for these six components indicated an average wear rate of 65 mm3/year. Overall scanner error was quantified gravimetrically and associated with a maximum uncertainty of 0.6%. Intra- and interobserver uncertainty analysis showed the method to be both accurate and repeatable. © 2005 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater, 2005

37 citations

Journal ArticleDOI
TL;DR: The viscoelastic and failure properties of porcine posterior longitudinal ligament (PLL) collagen fascicles were used to develop a microstructural ligament failure model that will be published in a subsequent paper.
Abstract: The microstructural volume fractions, orientations, and interactions among components vary widely for different ligament types. If these variations are understood, however, it is conceivable to develop a general ligament model that is based on microstructural properties. This paper presents a part of a much larger effort needed to develop such a model. Viscoelastic and failure properties of porcine posterior longitudinal ligament (PLL) collagen fascicles were determined. A series of subfailure and failure tests were performed at fast and slow strain rates on isolated collagen fascicles from porcine lumbar spine PLLs. A finite strain quasi-linear viscoelastic model was used to fit the fascicle experimental data. There was a significant strain rate effect in fascicle failure strain (P < 0.05), but not in failure force or failure stress. The corresponding average fast-rate and slow-rate failure strains were 0.098 ± 0.062 and 0.209 ± 0.081. The average failure force for combined fast and slow rates was 2.25 ± 1.17 N. The viscoelastic and failure properties in this paper were used to develop a microstructural ligament failure model that will be published in a subsequent paper.

37 citations

Journal ArticleDOI
TL;DR: 2,4-D did not cause reproductive toxicity, DNT, or DIT, and kidney toxicity was the primary target organ, with slight degeneration of proximal convoluted tubules observed in high-dose P1 males and inhigh-dose F1 Males and females.

37 citations


Authors

Showing all 1593 results

NameH-indexPapersCitations
Hans-Olov Adami14590883473
Melvin E. Andersen8351726856
Joseph Katz8169127793
Lorna J. Gibson7517833835
Buddhima Indraratna6473515596
Barbara A. Goff6122711859
Jack S. Mandel6017122308
Antonio Gens5826914987
Ellen T. Chang5720911567
Dayang Wang551859513
Edmund Lau5218322520
Steven M. Kurtz522498066
Alfred J. Crosby512068310
Suresh H. Moolgavkar511698833
Michael T. Halpern5123716566
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
20229
2021123
2020124
2019133
201888